filterData: Filter datasets according to no. features present in features...
In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
Description
Usage
Arguments
Value
Examples
Description
Filter the data based on the number of present features after filtering samples by depth of coverage.
There are many ways to filter the object, this is just one way.
Usage
1
filterData(obj, present = 1, depth = 1000)
Arguments
obj
A MRexperiment object or count matrix.
present
Features with at least 'present' postive samples.
depth
Sampls with at least this much depth of coverage
Value
A MRexperiment object.
Examples
1
2
metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.
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Description Usage Arguments Value Examples
Description
Filter the data based on the number of present features after filtering samples by depth of coverage. There are many ways to filter the object, this is just one way.
Usage
1 | filterData(obj, present = 1, depth = 1000)
|
Arguments
obj |
A MRexperiment object or count matrix. |
present |
Features with at least 'present' postive samples. |
depth |
Sampls with at least this much depth of coverage |
Value
A MRexperiment object.
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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